CN109620187A - A kind of central aortic pressure projectional technique and device - Google Patents
A kind of central aortic pressure projectional technique and device Download PDFInfo
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- CN109620187A CN109620187A CN201811530294.3A CN201811530294A CN109620187A CN 109620187 A CN109620187 A CN 109620187A CN 201811530294 A CN201811530294 A CN 201811530294A CN 109620187 A CN109620187 A CN 109620187A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
Abstract
The embodiment of the present invention proposes a kind of central aortic pressure projectional technique, device, the method and device for establishing central aortic pressure prediction model, is related to Medical Instruments technical field.This method and device are according to pre-stored initial sensitive parameter, and emulation is carried out using pre-established initial human circulation model and obtains primary simulation blood pressure waveform, then initial sensitive parameter is adjusted constantly using presetting correction algorithm on the basis of the actual measurement blood pressure waveform of acquisition to obtain present day analog blood pressure waveform, until present day analog blood pressure waveform meets preset condition, simulation central aortic pressure finally is obtained using the emulation of actual human body circulation model；Since initial human circulation model passes through the one-dimensional rete arteriosum network modeling artery network with actual physical meaning, it is capable of the true continuous blood pressure waveform of accurate simulation Different Individual, so as to which after successfully simulating true continuous blood pressure waveform, directly simulation obtains the simulation central aortic pressure for having individual adaptability.
Description
Technical field
The present invention relates to Medical Instruments technical field, in particular to a kind of central aortic pressure projectional technique, device,
Establish the method and device of central aortic pressure prediction model.
Background technique
Central aortic pressure refers to the blood pressure of aortic root, that is, pressure when blood is just pumped out from left ventricle.Research
Show being associated with closely between central aortic pressure and the risk of cardiovascular diseases factor, it can extremely accurate reflect drop
The practical function of the drugs such as pressing, therefore how measuring center angiosthenia is of great significance.It is aroused in interest in most direct acquisition
Pulse pressure mode is the conduit that insertion has pressure sensor into human body, although however mode is accurate however be invasive, nothing
Method is applied to daily life.
The noninvasive method for obtaining central aortic pressure in the prior art, mostly according to human peripheral angiosthenia Reeb and center
Association between angiosthenia Reeb proposes the mapping method using generalized transfer function as representative, however this method is based on system
It counts, individuation scarce capacity cannot be accurately obtained everyone central aortic pressure by this method.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of central aortic pressure projectional technique, device, establishing central aortic
The method and device of prediction model is pressed, to solve the above problems.
To achieve the goals above, technical solution used in the embodiment of the present invention is as follows:
In a first aspect, the embodiment of the invention provides central aortic pressure projectional technique, the central aortic pressure projectional technique
Include:
According to pre-stored initial sensitive parameter, and emulation is carried out using pre-established initial human circulation model and is obtained just
Begin simulation blood pressure waveform, wherein the initial human circulation model includes one-dimensional rete arteriosum network model, cardiac module and artery
The entrance of terminal model, the one-dimensional rete arteriosum network model is coupled with the cardiac module, the one-dimensional rete arteriosum network model
Outlet is coupled with the artery terminal model；
On the basis of the actual measurement blood pressure waveform of acquisition, the initial sensitive ginseng is constantly adjusted using presetting correction algorithm
Number is to obtain present day analog blood pressure waveform, until the present day analog blood pressure waveform meets preset condition；
It is emulated using actual human body circulation model and obtains simulation central aortic pressure, wherein the actual human body circulation model
Practical sensitive parameter be the present day analog blood pressure waveform meet corresponding sensitive parameter when the preset condition.
Second aspect, it is described to build the embodiment of the invention also provides a kind of method for establishing central aortic pressure prediction model
The method of vertical central aortic pressure prediction model includes:
The corresponding simulation central aortic pressure of multiple actual measurement blood pressures is obtained using the method that first aspect provides；
By the multiple actual measurement blood pressure and the corresponding simulation central aortic pressure of the multiple actual measurement blood pressure to pre-established
Neural network model is to establish central aortic pressure prediction model.
The third aspect, the embodiment of the invention also provides a kind of central aortic pressure estimation device, the central aortic pressure is pushed away
Calculating device includes:
Simulation unit, the initial sensitive parameter pre-stored for basis, and utilize pre-established initial human circulation model
It carries out emulation and obtains primary simulation blood pressure waveform, wherein the initial human circulation model includes one-dimensional rete arteriosum network model, the heart
The entrance of dirty model and artery terminal model, the one-dimensional rete arteriosum network model is coupled with the cardiac module, described one-dimensional
The outlet of artery network model is coupled with the artery terminal model；
Parameter adjustment unit, it is continuous using presetting correction algorithm on the basis of the actual measurement blood pressure waveform of acquisition
The initial sensitive parameter is adjusted to obtain present day analog blood pressure waveform, until the present day analog blood pressure waveform meets default item
Until part；
The simulation unit is also used to obtain simulation central aortic pressure using the emulation of actual human body circulation model, wherein institute
The practical sensitive parameter for stating actual human body circulation model is that the present day analog blood pressure waveform corresponds to when meeting the preset condition
Sensitive parameter.
Fourth aspect, it is described to build the embodiment of the invention also provides a kind of device for establishing central aortic pressure prediction model
The model foundation device of vertical central aortic pressure prediction model includes:
Sample acquisition unit, the method provided for first aspect obtain the corresponding simulation central aortic of multiple actual measurement blood pressures
Pressure；
Training unit, for passing through the multiple actual measurement blood pressure and the corresponding simulation central aortic of the multiple actual measurement blood pressure
Pressure is to pre-established neural network model to establish central aortic pressure prediction model.
Central aortic pressure projectional technique and device provided in an embodiment of the present invention, according to pre-stored initial sensitive parameter,
And carry out emulation using pre-established initial human circulation model and obtain primary simulation blood pressure waveform, then with the actual measurement blood of acquisition
Initial sensitive parameter is constantly adjusted to obtain present day analog blood pressure waveform, directly using presetting correction algorithm on the basis of corrugating
Until present day analog blood pressure waveform meets preset condition, finally emulated using actual human body circulation model aroused in interest in being simulated
Pulse pressure；Since initial human circulation model is by the one-dimensional rete arteriosum network modeling artery network with actual physical meaning,
It is capable of the true continuous blood pressure waveform of accurate simulation Different Individual, so as to after successfully simulating true continuous blood pressure waveform,
Directly simulation obtains the simulation central aortic pressure for having individual adaptability.
The method and device provided in an embodiment of the present invention for establishing central aortic pressure prediction model, is obtained using the above method
The corresponding simulation central aortic pressure of multiple actual measurement blood pressures, then by multiple actual measurement blood pressures and the corresponding simulation of multiple actual measurement blood pressures
Pulse pressure aroused in interest establishes central aortic pressure prediction model to pre-established neural network model；Due to being trained to neural network
Actual measurement blood pressure and simulation central aortic pressure have individual adaptability, so that the obtained central aortic pressure prediction model of training also has
Standby individual adaptability；Training data is directly acquired by the above method simultaneously, avoids and manually voluntarily acquires training sample, is saved
Human cost and time cost.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the block diagram of Medical Devices provided in an embodiment of the present invention.
Fig. 2 is the flow chart of central aortic pressure projectional technique provided in an embodiment of the present invention.
Fig. 3 is the schematic diagram of one-dimensional rete arteriosum network model provided in an embodiment of the present invention.
Fig. 4 is the schematic diagram of cardiac module provided in an embodiment of the present invention.
Fig. 5 is the schematic diagram of artery terminal model provided in an embodiment of the present invention.
Fig. 6 is the specific flow chart of S202 in Fig. 2.
Fig. 7 is to survey blood pressure waveform during adjusting sensitive parameter and simulate the comparison diagram of blood pressure waveform.
Fig. 8 is the waveform diagram of the simulation central aortic pressure obtained using central aortic pressure projectional technique provided by the invention.
Fig. 9 is a kind of functional block diagram of central aortic pressure estimation device provided in an embodiment of the present invention.
Figure 10 is a kind of flow chart for the method for establishing central aortic pressure prediction model provided in an embodiment of the present invention.
Figure 11 is a kind of functional block diagram for the device for establishing central aortic pressure prediction model provided in an embodiment of the present invention.
Icon: 100- Medical Devices；111- memory；112- processor；200- central aortic pressure estimation device；210- is imitative
True unit；220- parameter adjustment unit；300- establishes the device of central aortic pressure prediction model；310- sample acquisition unit；
320- training unit.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.
Therefore, the detailed description of the embodiment of the present invention provided in the accompanying drawings is not intended to limit below claimed
The scope of the present invention, but be merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art
Member's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
It should be noted that the relational terms of term " first " and " second " or the like be used merely to an entity or
Operation is distinguished with another entity or operation, and without necessarily requiring or implying between these entities or operation, there are any
This actual relationship or sequence.Moreover, the terms "include", "comprise" or its any other variant be intended to it is non-exclusive
Property include so that include a series of elements process, method, article or equipment not only include those elements, but also
Further include other elements that are not explicitly listed, or further include for this process, method, article or equipment it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described
There is also other identical elements in the process, method, article or equipment of element.
Fig. 1 is please referred to, is the block diagram of Medical Devices 100.The Medical Devices 100 are calculated including central aortic pressure
Device 200, memory 111 and processor 112.
It is directly or indirectly electrically connected between memory 111 and processor 112, to realize the transmission or interaction of data.
The central aortic pressure estimation device 200 includes described at least one can be stored in the form of software or firmware (Firmware)
In memory 111 or the software function that is solidificated in the operating system (Operating System, OS) of the Medical Devices 100
Module.
The processor 112 is for executing the executable module stored in the memory 111, such as the central aortic
Press software function module and computer program etc. included by estimation device 200.
Wherein, memory 111 is for storing program or data.The memory 111 may be, but not limited to, at random
It accesses memory (Random Access Memory, RAM), read-only memory (Read Only Memory, ROM), may be programmed
Read-only memory (Programmable Read-Only Memory, PROM), erasable read-only memory (Erasable
Programmable Read-Only Memory, EPROM), electricallyerasable ROM (EEROM) (Electric Erasable
Programmable Read-Only Memory, EEPROM) etc..
It should be understood that structure shown in FIG. 1 is only the structural schematic diagram of Medical Devices 100, the Medical Devices 100
It may also include than shown in Fig. 1 more perhaps less component or with the configuration different from shown in Fig. 1.Shown in Fig. 1
Each component can be realized using hardware, software, or its combination.
The present invention provides a kind of central aortic pressure projectional techniques, for calculating other positions based on actual measurement blood pressure waveform
Simulate central aortic pressure.Referring to Fig. 2, being the flow chart of central aortic pressure projectional technique provided by the invention.The central aortic
Press projectional technique comprising steps of
S201 is emulated according to pre-stored initial sensitive parameter, and using pre-established initial human circulation model
Obtain primary simulation blood pressure waveform.
Initial human circulation model is human circulation model under the conditions of initial sensitive parameter, human circulation model
Sensitive parameter is the human circulation model in the case of adjustable, different sensitive parameter, the different individual of analog.
Wherein, sensitive parameter is the factor for influencing blood pressure waveform, and sensitive parameter generally comprises blood vessel elasticity, peripheral resistance
And blood vessel thickness etc..
Human circulation model include one-dimensional rete arteriosum network model, cardiac module and artery terminal model, cardiac module with
The entrance of a part of artery of one-dimensional rete arteriosum network modeling couples, artery terminal model and one-dimensional rete arteriosum network modeling
Another part artery outlet coupling.
Referring to Fig. 3, being the schematic diagram of one-dimensional rete arteriosum network model.One-dimensional rete arteriosum network model is intended to simulate sensitive parameter
Influence journey of the sensitive parameter for blood pressure waveform is able to reflect with the corresponding relationship of blood pressure waveform namely one-dimensional rete arteriosum network model
Degree.In addition, one-dimensional rete arteriosum network modeling human body main artery, at the same every artery from along length of vessel direction with
And radially determine sensitive parameter is how to influence blood pressure waveform along blood vessel.
Thus, every radicular arteries are all satisfied fluid governing equation and elastic cavity equation.Specifically, fluid governing equation simulates
Conduction and reflection of the blood pressure along length of vessel direction；And the passes between elastic cavity establishing equation vessel cross-sections product and blood pressure
System.
Specifically, fluid governing equation are as follows:
Elastic cavity equation are as follows:
Wherein, A is vessel cross-sections product, and U is blood flowing speed, and P is blood pressure, and z is the side along blood vessel long axis
To location information, ρ is density of blood, KRFor viscosity, P0For presetting reference blood pressure, A0For presetting reference blood
Press P0Under vessel cross-sections product, r0For vessel cross-sections product A0Corresponding radius, E are elasticity modulus, and h is blood vessel thickness, and σ is
Poisson's ratio.
Referring to Fig. 4, being the schematic diagram of cardiac module.Heart includes atrium sinistrum and left ventricle, with electric current in Fig. 5 in Fig. 4
Direction of flow of blood is simulated in direction, blood flow is simulated with size of current, with PLVLeft atrial pressure is represented, left ventricle is using change elasticity
Model, to obtain the governing equation of cardiac module: PLV=E (t) VLV。
In addition, due in human body, heart is coupled with the blood entry port of part of arteries, thus cardiac module and one-dimensional rete arteriosum
The entrance of a part of artery of network modeling couples.
Referring to Fig. 5, being the schematic diagram of artery terminal model.Direction of flow of blood is simulated with current direction in Fig. 5, with electricity
It flows size and simulates blood flow, thus the governing equation of artery terminal model are as follows:
Wherein, P is blood pressure, and Q is blood flow, RpAnd RdFor presetting impedance, C is presetting capacitive reactance.
Complex chart 3, Fig. 4 and Fig. 5 have been built into a complete human circulation model, can be with accurate simulation blood of human body
Mobility status, thus according to the available corresponding primary simulation blood pressure waveform of initial sensitive parameter.
S202 constantly adjusts initial sensitivity using presetting correction algorithm on the basis of the actual measurement blood pressure waveform of acquisition
Parameter is to obtain present day analog blood pressure waveform, until present day analog blood pressure waveform meets preset condition.
It should be noted that actual measurement blood pressure waveform includes N number of first sampled point, primary simulation blood pressure waveform includes N number of the
Two sampled points, N number of first sampled point and N number of second sampled point correspond.In a kind of optional embodiment, have identical
First sampled point of abscissa is corresponding with the second sampled point.In addition, initial sensitive parameter is M.
Referring to Fig. 6, being the specific flow chart of S202.The S202 comprising steps of
S2021, based on the collected actual measurement blood pressure of N number of first sampled point and N number of second sampled point it is collected at the beginning of
Beginning simulation blood pressure obtains N number of blood pressure difference.
N number of actual measurement blood pressure is acquired on N number of first sampled point of actual measurement blood pressure waveform, while in primary simulation blood pressure waveform
N number of second sampled point on acquire N number of primary simulation blood pressure, by every group it is corresponding actual measurement blood pressure and primary simulation blood pressure difference
As a blood pressure difference, to obtain N number of blood pressure difference.
In addition, determining the matrix Δ y of 1 × N based on N number of blood pressure difference.
Wherein, actual measurement blood pressure waveform can be measured by blood pressure measuring device and be obtained, such as tensionapplanation meter
(applanation tonometry), using the sphygmomanometer of volume clamp method and oscillographic method sphygmomanometer etc. are all can
To record the device of continuous blood pressure.In addition, actual measurement blood pressure waveform can be from aorta regions such as upper arm, finger, arteria carotis, legs
Position in addition, which measures, to be obtained.
M initial sensitive parameters are expanded presupposition multiple by S2022 one by one, and the corresponding M a first of emulation acquisition works as respectively
Front simulation blood pressure waveform, each first present day analog blood pressure waveform include N number of third sampled point, N number of third sampled point with it is N number of
Second sampled point corresponds.
One initial sensitive parameter is expanded into presupposition multiple, other M-1 initial sensitive parameters remain unchanged, and are based on working as
After sensitive parameter emulation under preceding state obtains the first present day analog blood pressure waveform, then keep the initial sensitive parameter and other M-
Another initial sensitive parameter is expanded presupposition multiple by 2 initial sensitive parameters, and so on obtain M the first present day analogs
Blood pressure waveform.
In a kind of optional embodiment, presupposition multiple 0.1.
S2023, based on the current mould of N number of third sampled point collected first in M the first present day analog blood pressure waveforms
Intend blood pressure and obtains M × N number of error rate in the collected primary simulation blood pressure of N number of second sampled point.
N number of primary simulation blood pressure is acquired on N number of second sampled point of primary simulation blood pressure waveform, while at one first
N number of first present day analog blood pressure is acquired on N number of third sampled point of present day analog blood pressure waveform, by every group of corresponding actual measurement blood pressure
And first present day analog blood pressure difference divided by presupposition multiple, an error rate is just obtained, to obtain N number of error change
Rate.
Due to obtaining M × N number of error rate, and finally with this shape comprising M the first present day analog blood pressure waveforms
At variable quantity matrix J.
S2024 is based on N number of blood pressure difference, M × N number of error rate, and true using Levenberg-Marquardt algorithm
Determine M sensitive parameter regulated quantity.
Specifically, pass through formula [JTJ+λdiag(JTJ)] δ P=JTΔ y calculates M sensitive parameter regulated quantity.Wherein, δ is
To adjust moment matrix, and adjusting moment matrix includes M sensitive parameter regulated quantity.
S2025 is followed using the human body obtained after the M initial sensitive parameters is adjusted based on M sensitive parameter regulated quantity
Ring model emulation obtains the second present day analog blood pressure waveform.
M initial sensitive parameters are added into its corresponding sensitive parameter regulated quantity respectively and obtain one group of new sensitive parameter,
The second present day analog blood pressure waveform is obtained according to the new corresponding human circulation model emulation of one group of sensitive parameter.
S2026 calculates the second present day analog blood pressure waveform and surveys the mean square deviation of blood pressure waveform.
Simulation blood adjusted is determined by calculating the second present day analog blood pressure waveform and surveying the mean square deviation of blood pressure waveform
The similarity of corrugating and actual measurement blood pressure waveform.If mean square deviation is larger, show the second present day analog blood pressure waveform and actual measurement blood
Corrugating difference is larger；If mean square deviation is smaller, show that the second present day analog blood pressure waveform is closer to actual measurement blood pressure waveform.
S2027, judges whether mean square deviation is less than or equal to presetting first threshold, if it is, executing S2028；It is no
Then, S2029 is executed.
Second present day analog blood pressure waveform is determined as present day analog blood pressure waveform by S2028.
When mean square deviation is less than or equal to presetting first threshold, show the second present day analog blood pressure waveform and actual measurement blood
Corrugating is closely similar, therefore the second present day analog blood pressure waveform is determined as present day analog blood pressure waveform.
S2029 constantly adjusts the second current mould using presetting correction algorithm again on the basis of surveying blood pressure waveform
Intend the corresponding sensitive parameter of blood pressure waveform to obtain present day analog blood pressure waveform, until present day analog blood pressure waveform and actual measurement blood pressure
Until the mean square deviation of waveform is less than or equal to presetting first threshold.
When mean square deviation is greater than presetting first threshold, show the second present day analog blood pressure waveform and actual measurement blood pressure waveform
Differ larger, it is therefore desirable to realize the adjustment to simulation blood pressure waveform by adjusting sensitive parameter.
It should be noted that the process readjusted is similar with S2021~S2026, details are not described herein.
Referring to Fig. 7, to adjust sensitive parameter actual measurement blood pressure waveform and the comparison diagram for simulating blood pressure waveform in the process.Its
In, S, which is represented, adjusts number, and figure (i) indicates comparison of wave shape figure when not adjusting sensitive parameter；Scheming (ii) indicates to adjust sensitive parameter
Comparison of wave shape figure after primary；Scheme the comparison of wave shape figure after (iii) expression adjusts sensitive parameter twice；Scheming (iiii) indicates to adjust
Comparison of wave shape figure after sensitive parameter five times.
As can be seen from Figure 7, as the adjusting number to sensitive parameter increases, simulation blood pressure waveform becomes closer to actual measurement blood pressure
Waveform.
S203 is emulated using actual human body circulation model and is obtained simulation central aortic pressure, wherein actual human body circulation model
Practical sensitive parameter be present day analog blood pressure waveform meet corresponding sensitive parameter when preset condition.
After obtaining human circulation model corresponding with actual measurement blood pressure waveform, just can obtain human body circulation model must take office
Blood pressure (i.e. blood pressure), blood flowing speed and the vessel cross-sections product of meaning position, naturally also include center pulsating pressure.
Specifically, since actual human body circulation model is to simulate the human body that can generate actual measurement blood pressure waveform, thus pass through
Actual human body circulation model emulation obtains the very close waveform diagram really monitored from human body of simulation central aortic pressure.From
And the blood pressure waveform for obtaining human body any part can be emulated by human body circulation model, wherein just including and cardiovascular disease
Sick risks and assumptions are associated with very close central aortic pressure.Referring to Fig. 8, to be calculated using central aortic pressure provided by the invention
The waveform diagram for the central aortic pressure that method obtains.
In order to execute the corresponding steps in above-described embodiment and each possible mode, a kind of central aortic pressure is given below
The implementation of estimation device 200, optionally, the central aortic pressure estimation device 200 can use above-mentioned medical treatment shown in FIG. 1
The device architecture of equipment 100.Further, referring to Fig. 9, Fig. 9 is that a kind of central aortic pressure provided in an embodiment of the present invention pushes away
Calculate device 200.It should be noted that central aortic pressure estimation device 200, basic principle and generation provided by the present embodiment
Technical effect it is identical with above-described embodiment, for briefly describe, the present embodiment part do not refer to place, can refer to above-mentioned implementation
Corresponding contents in example.The central aortic pressure estimation device 200 includes simulation unit 210 and parameter adjustment unit 220.
Central aortic pressure estimation device 200 is used for according to pre-stored initial sensitive parameter, and using pre-established initial
Human circulation model carries out emulation and obtains primary simulation blood pressure waveform.
It is to be appreciated that the simulation unit 210 can be used for executing S201 in a kind of optional embodiment.
Parameter adjustment unit 220 is used on the basis of the actual measurement blood pressure waveform of acquisition, not using presetting correction algorithm
The disconnected initial sensitive parameter of adjustment is to obtain present day analog blood pressure waveform, until present day analog blood pressure waveform meets preset condition and is
Only.
It should be noted that actual measurement blood pressure waveform includes N number of first sampled point, primary simulation blood pressure waveform includes N number of the
Two sampled points, N number of first sampled point and N number of second sampled point correspond.In a kind of optional embodiment, have identical
First sampled point of abscissa is corresponding with the second sampled point.In addition, initial sensitive parameter is M.
Specifically, parameter adjustment unit 220 is used for based in the collected actual measurement blood pressure of N number of first sampled point and N number of
The collected primary simulation blood pressure of second sampled point obtains N number of blood pressure difference.
Parameter adjustment unit 220 is also used to M initial sensitive parameters expanding presupposition multiple one by one, and emulation obtains respectively
Corresponding M the first present day analog blood pressure waveforms, each first present day analog blood pressure waveform includes N number of third sampled point, N number of
Third sampled point and N number of second sampled point correspond.
Parameter adjustment unit 220 is also used to based on N number of third sampled point acquisition in M the first present day analog blood pressure waveforms
To the first present day analog blood pressure and in the collected primary simulation blood pressure of N number of second sampled point obtain M × N number of error change
Rate.
Parameter adjustment unit 220 is also used to based on N number of blood pressure difference, M × N number of error rate, and utilizes Levenberg-
Marquardt algorithm determines M sensitive parameter regulated quantity.
Parameter adjustment unit 220, which is also used to utilize, to be based on obtaining after M sensitive parameter regulated quantity adjusts M initial sensitive parameters
The human circulation model emulation arrived obtains the second present day analog blood pressure waveform.
Parameter adjustment unit 220 is also used to calculate the second present day analog blood pressure waveform and surveys the mean square deviation of blood pressure waveform.
If parameter adjustment unit 220 is also used to mean square deviation less than or equal to presetting first threshold, currently by second
Simulation blood pressure waveform is determined as present day analog blood pressure waveform, otherwise, again on the basis of surveying blood pressure waveform, using presetting
Correction algorithm adjusts the corresponding sensitive parameter of the second present day analog blood pressure waveform constantly to obtain present day analog blood pressure waveform, until
Until the mean square deviation of present day analog blood pressure waveform and actual measurement blood pressure waveform is less than or equal to presetting first threshold.
It is to be appreciated that in a kind of optional embodiment, the parameter adjustment unit 220 can be used for executing S202,
S2021, S2022, S2023, S2024, S2025, S2026, S2027, S2028 and S2029.
Simulation unit 210 is also used to obtain simulation central aortic pressure using the emulation of actual human body circulation model, wherein practical
The practical sensitive parameter of human circulation model is that present day analog blood pressure waveform meets corresponding sensitive parameter when preset condition.
It is to be appreciated that the simulation unit 210 can be used for executing S203 in a kind of optional embodiment.
In conclusion central aortic pressure projectional technique provided in an embodiment of the present invention and device, according to pre-stored initial
Sensitive parameter, and carry out emulation using pre-established initial human circulation model and obtain primary simulation blood pressure waveform, then to obtain
Adjust initial sensitive parameter constantly using presetting correction algorithm on the basis of the actual measurement blood pressure waveform taken to obtain present day analog
Blood pressure waveform is finally obtained using the emulation of actual human body circulation model until present day analog blood pressure waveform meets preset condition
Central aortic pressure must be simulated；Since initial human circulation model passes through the one-dimensional rete arteriosum network pattern die with actual physical meaning
Quasi- artery network, is capable of the true continuous blood pressure waveform of accurate simulation Different Individual, so as to true continuous in successfully simulation
After blood pressure waveform, directly simulation obtains the simulation central aortic pressure for having individual adaptability.
It should be noted that central aortic pressure projectional technique provided by the invention and device, apply also for calculating human body its
Blood pressure, the blood flow velocity at his position etc., are not particularly limited herein.
Second embodiment
Referring to Fig. 10, Figure 10 is a kind of side for establishing central aortic pressure prediction model that present pre-ferred embodiments provide
The flow chart of method.This establish the method for central aortic pressure prediction model comprising steps of
S301 obtains the corresponding simulation central aortic pressure of multiple actual measurement blood pressures using central aortic pressure projectional technique.
It should be noted that multiple actual measurement blood pressure be carried out in distribution where blood pressure in various people largely with
Machine sampling obtains.
S302, by multiple actual measurement blood pressures and the corresponding simulation central aortic pressure of multiple actual measurement blood pressures to pre-established nerve
Network model is to establish central aortic pressure prediction model.
In addition, quickly, precisely user can be quickly obtained based on actual measurement blood pressure by establishing central aortic pressure prediction model
The blood pressure waveform needed avoids Field adjustment sensitive parameter and emulates and obtain asking for simulation central aortic pressure cost more time
Topic.
In order to execute the corresponding steps in above-described embodiment and each possible mode, it is given below aroused in interest in a kind of foundation
The implementation of the device 300 of pulse pressure prediction model, optionally, which can be with
Using the device architecture of above-mentioned Medical Devices 100 shown in FIG. 1.Further, Figure 11 is please referred to, Figure 11 is the embodiment of the present invention
A kind of device 300 for establishing central aortic pressure prediction model provided.It should be noted that in being established provided by the present embodiment
The technical effect of the device 300 of pulse pressure prediction model aroused in interest, basic principle and generation is identical with above-described embodiment, briefly to retouch
It states, the present embodiment part does not refer to place, can refer to corresponding contents in the above embodiments.This is established central aortic pressure and calculates mould
The device 300 of type includes sample acquisition unit 310 and training unit 320.
Sample acquisition unit 310 is used to obtain in the corresponding simulation of multiple actual measurement blood pressures using central aortic pressure projectional technique
Pulse pressure aroused in interest.
It is to be appreciated that sample acquisition unit 310 can be used for executing S301 in a kind of optional embodiment.
Training unit 320 is used for through multiple actual measurement blood pressures and the corresponding simulation central aortic pressure of multiple actual measurement blood pressures to pre-
The neural network model of foundation is to establish central aortic pressure prediction model.
It is to be appreciated that training unit 320 can be used for executing S302 in a kind of optional embodiment.
Since the actual measurement blood pressure and simulation central aortic pressure that are trained to neural network have individual adaptability, to instruct
The central aortic pressure prediction model got also has individual adaptability；Training data is directly acquired by the above method simultaneously,
It avoids and manually voluntarily acquires training sample, saved human cost and time cost.
In several embodiments provided herein, it should be understood that disclosed device and method can also pass through
Other modes are realized.The apparatus embodiments described above are merely exemplary, for example, flow chart and block diagram in attached drawing
Show the device of multiple embodiments according to the present invention, the architectural framework in the cards of method and computer program product,
Function and operation.In this regard, each box in flowchart or block diagram can represent the one of a module, section or code
Part, a part of the module, section or code, which includes that one or more is for implementing the specified logical function, to be held
Row instruction.It should also be noted that function marked in the box can also be to be different from some implementations as replacement
The sequence marked in attached drawing occurs.For example, two continuous boxes can actually be basically executed in parallel, they are sometimes
It can execute in the opposite order, this depends on the function involved.It is also noted that every in block diagram and or flow chart
The combination of box in a box and block diagram and or flow chart can use the dedicated base for executing defined function or movement
It realizes, or can realize using a combination of dedicated hardware and computer instructions in the system of hardware.
In addition, each functional module in each embodiment of the present invention can integrate one independent portion of formation together
Point, it is also possible to modules individualism, an independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, Medical Devices or network equipment etc.) execute all or part of step of each embodiment the method for the present invention
Suddenly.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), deposits at random
The various media that can store program code such as access to memory (RAM, Random Access Memory), magnetic or disk.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of central aortic pressure projectional technique, which is characterized in that the central aortic pressure projectional technique includes:
According to pre-stored initial sensitive parameter, and emulation is carried out using pre-established initial human circulation model and obtains introductory die
Quasi- blood pressure waveform, wherein the initial human circulation model includes one-dimensional rete arteriosum network model, cardiac module and artery end
Model, the cardiac module are coupled with the entrance of a part of artery of the one-dimensional rete arteriosum network modeling, the artery end
End model is coupled with the outlet of another part artery of the one-dimensional rete arteriosum network modeling；
On the basis of the actual measurement blood pressure waveform of acquisition, using presetting correction algorithm constantly adjust the initial sensitive parameter with
Present day analog blood pressure waveform is obtained, until the present day analog blood pressure waveform meets preset condition；
It is emulated using actual human body circulation model and obtains simulation central aortic pressure, wherein the reality of the actual human body circulation model
Border sensitive parameter is that the present day analog blood pressure waveform meets corresponding sensitive parameter when the preset condition.
2. central aortic pressure projectional technique according to claim 1, which is characterized in that the one-dimensional rete arteriosum network model is
Based on fluid governing equation and elastic cavity establishing equation；
Wherein, the fluid governing equation are as follows:
The elastic cavity equation are as follows:
Wherein, A is vessel cross-sections product, and U is blood flowing speed, and P is blood pressure, and z is the direction along blood vessel long axis
Location information, ρ are density of blood, KRFor viscosity, P0For presetting reference blood pressure, A0For presetting reference blood pressure P0
Under vessel cross-sections product, r0For vessel cross-sections product A0Corresponding radius, E are elasticity modulus, and h is blood vessel thickness, and σ is Poisson
Than.
3. central aortic pressure projectional technique according to claim 1, which is characterized in that the governing equation of the cardiac module
Are as follows: PLV=E (t) VLV, wherein PLVFor left atrial pressure, E (t) time-varying elastance, VLVFor left ventricular volume.
4. central aortic pressure projectional technique according to claim 1, which is characterized in that the control of the artery terminal model
Equation are as follows:
Wherein, P is blood pressure, and Q is blood flow, RpAnd RdFor presetting impedance, C is presetting capacitive reactance.
5. central aortic pressure projectional technique according to claim 1, which is characterized in that the actual measurement blood pressure waveform includes N
A first sampled point, the primary simulation blood pressure waveform include N number of second sampled point, N number of first sampled point with it is described N number of
Second sampled point corresponds, and the initial sensitive parameter is M；On the basis of the actual measurement blood pressure waveform by acquisition, utilize
Presetting correction algorithm adjusts the initial sensitive parameter constantly to obtain present day analog blood pressure waveform, until the current mould
Quasi- blood pressure waveform meet preset condition until the step of include:
Based on the collected actual measurement blood pressure of N number of first sampled point and in N number of second sampled point it is collected initial
Simulation blood pressure obtains N number of blood pressure difference；
The M initial sensitive parameters are expanded into presupposition multiple one by one, and emulation obtains corresponding M the first present day analog respectively
Blood pressure waveform, each first present day analog blood pressure waveform includes N number of third sampled point, N number of third sampled point with
N number of second sampled point corresponds；
Based on the collected first present day analog blood pressure of N number of third sampled point in the M the first present day analog blood pressure waveforms
And M × N number of error rate is obtained in N number of collected primary simulation blood pressure of second sampled point；
Based on N number of blood pressure difference, the M × N number of error rate, and M is determined using Levenberg-Marquardt algorithm
A sensitive parameter regulated quantity；
Using adjusting the human circulation model obtained after the initial sensitive parameters of the M based on the M sensitive parameter regulated quantity
Emulation obtains the second present day analog blood pressure waveform；
Calculate the mean square deviation of the second present day analog blood pressure waveform and the actual measurement blood pressure waveform；
If the mean square deviation is less than or equal to presetting first threshold, the second present day analog blood pressure waveform is determined as
The present day analog blood pressure waveform, otherwise, again on the basis of the actual measurement blood pressure waveform, not using presetting correction algorithm
The disconnected corresponding sensitive parameter of the second present day analog blood pressure waveform that adjusts is to obtain present day analog blood pressure waveform, until described work as
Until the mean square deviation of front simulation blood pressure waveform and the actual measurement blood pressure waveform is less than or equal to presetting first threshold.
6. central aortic pressure projectional technique according to claim 5, which is characterized in that it is described based on N number of blood pressure difference,
The M × N number of error rate, and the step of determining M sensitive parameter regulated quantity using Levenberg-Marquardt algorithm
Include:
Pass through formula [JTJ+λdiag(JTJ)] δ P=JTΔ y calculates M sensitive parameter regulated quantity；Wherein, J is based on N number of error
The variation moment matrix that change rate determines, JTFor the transposed matrix of J, δ is the adjusting moment matrix for characterizing M sensitive parameter regulated quantity,
Δ y is the matrix determined based on N number of blood pressure difference, and λ is presetting attenuation coefficient.
7. a kind of method for establishing central aortic pressure prediction model, which is characterized in that described to establish central aortic pressure prediction model
Method include:
The corresponding simulation central aortic pressure of multiple actual measurement blood pressures is obtained using the method for any one of claim 1-6；
By the multiple actual measurement blood pressure and the corresponding simulation central aortic pressure of the multiple actual measurement blood pressure to pre-established nerve
Network model is to establish central aortic pressure prediction model.
8. a kind of central aortic pressure estimation device, which is characterized in that the central aortic pressure estimation device includes:
Simulation unit, for being carried out according to pre-stored initial sensitive parameter, and using pre-established initial human circulation model
Emulation obtains primary simulation blood pressure waveform, wherein the initial human circulation model includes one-dimensional rete arteriosum network model, heart mould
The entrance of type and artery terminal model, the one-dimensional rete arteriosum network model is coupled with the cardiac module, the one-dimensional artery
The outlet of network model is coupled with the artery terminal model；
Parameter adjustment unit, for constantly being adjusted using presetting correction algorithm on the basis of the actual measurement blood pressure waveform of acquisition
The initial sensitive parameter is to obtain present day analog blood pressure waveform, until the present day analog blood pressure waveform meets preset condition and is
Only；
The simulation unit is also used to obtain simulation central aortic pressure using the emulation of actual human body circulation model, wherein the reality
The practical sensitive parameter of border human circulation model meets corresponding quick when the preset condition for the present day analog blood pressure waveform
Feel parameter.
9. central aortic pressure estimation device according to claim 8, which is characterized in that the actual measurement blood pressure waveform includes N
A first sampled point, the primary simulation blood pressure waveform include N number of second sampled point, N number of first sampled point with it is described N number of
Second sampled point corresponds, and the initial sensitive parameter is M；
The parameter adjustment unit is used for based in the collected actual measurement blood pressure of N number of first sampled point and described N number of the
The collected primary simulation blood pressure of two sampled points obtains N number of blood pressure difference；
The parameter adjustment unit is also used to the M initial sensitive parameters expanding presupposition multiple one by one, and emulation obtains respectively
Corresponding M the first present day analog blood pressure waveforms are obtained, each first present day analog blood pressure waveform includes N number of third sampling
Point, N number of third sampled point and N number of second sampled point correspond；
The parameter adjustment unit is also used to based on adopting in N number of third sampled point of the M the first present day analog blood pressure waveforms
The first present day analog blood pressure for collecting and M × N number of error is obtained in N number of collected primary simulation blood pressure of second sampled point
Change rate；
The parameter adjustment unit is also used to based on N number of blood pressure difference, the M × N number of error rate, and is utilized
Levenberg-Marquardt algorithm determines M sensitive parameter regulated quantity；
The parameter adjustment unit is also used to adjust described M initial sensitive ginseng using based on the M sensitive parameter regulated quantity
The human circulation model emulation obtained after number obtains the second present day analog blood pressure waveform；
The parameter adjustment unit is also used to calculate the second present day analog blood pressure waveform and surveys the equal of blood pressure waveform with described
Variance；
If the parameter adjustment unit is also used to the mean square deviation less than or equal to presetting first threshold, by described second
Present day analog blood pressure waveform is determined as the present day analog blood pressure waveform, otherwise, again on the basis of the actual measurement blood pressure waveform,
It is current to obtain constantly to adjust the corresponding sensitive parameter of the second present day analog blood pressure waveform using presetting correction algorithm
Blood pressure waveform is simulated, until the mean square deviation of the present day analog blood pressure waveform and the actual measurement blood pressure waveform is less than or equal to default
Until fixed first threshold.
10. a kind of device for establishing central aortic pressure prediction model, which is characterized in that described to establish central aortic pressure prediction model
Device include:
Sample acquisition unit obtains the corresponding mould of multiple actual measurement blood pressures for the method using any one of claim 1-6
Quasi- central aortic pressure；
Training unit, for passing through the multiple actual measurement blood pressure and the corresponding simulation central aortic pressure pair of the multiple actual measurement blood pressure
Pre-established neural network model is to establish central aortic pressure prediction model.
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